IBM Big Data Hub

AUGUST 28, 2023

Named entity recognition (NER): NER extracts relevant information from unstructured data by identifying and classifying named entities (like person names, organizations, locations and dates) within the text. A targeted approach will optimize the user experience and enhance an organization’s ROI.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

bridgei2i

OCTOBER 7, 2020

To get a perspective on evolving trends in insurance in the post-COVID world, read BRIDGEi2i’s blog here. Underwriting is a process that involves extraction & collation of information about the insured from different sources in structured & unstructured format. Importance of capturing market data for optimized pricing models.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

IBM Big Data Hub

JULY 6, 2023

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. This blog post will clarify some of the ambiguity. Machine learning is a subset of AI.

Deep Learning 59

Deep Learning Machine Learning Unstructured Data Modeling 59

IBM Big Data Hub

JANUARY 10, 2024

Data is often divided into three categories: training data (helps the model learn), validation data (tunes the model) and test data (assesses the model’s performance). For optimal performance, AI models should receive data from a diverse datasets (e.g.,

Unstructured Data 79

Unstructured Data Deep Learning Cost-Benefit Modeling 79

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. . 2000 Deep Learning: .

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Monte Carlo Data — Data reliability delivered. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

IBM Big Data Hub

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. Visit the watsonx webpage to learn more The post How foundation models and data stores unlock the business potential of generative AI appeared first on IBM Blog.

Modeling 58

Modeling Cost-Benefit Data Lake Machine Learning 58

IBM Big Data Hub

MAY 17, 2023

The data captured by the sensors and housed in the cloud flow into real-time monitoring for 24/7 visibility into your assets, enabling the Predictive Failure Model. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification.

Data Collection 80

Data Collection Visualization Data-driven Unstructured Data 80

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135